بهینه سازی سیستم تولید با قابلیت پیکربندی مجدد سلولی تحت محدودیت چیدمان ماشین‌آلات

مهجوری نمین, سپهر; حکیمی, احمد; رهبرنژاد, فاطمه

doi:https://doi.org/10.61186/jii.1.3.237

بهینه سازی سیستم تولید با قابلیت پیکربندی مجدد سلولی تحت محدودیت چیدمان ماشین‌آلات

نوع مقاله : مقاله پژوهشی

نویسندگان

سپهر مهجوری نمین ¹

احمد حکیمی ²

فاطمه رهبرنژاد ³

¹ کارشناس ارشد، مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی واحد تهران جنوب، تهران، ایران

² دکتری، مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه کردستان، سنندج، ایران

³ کارشناس، مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی واحد کرج، تهران، ایران

https://doi.org/10.61186/jii.1.3.237

چکیده

امروزه صنایع تولیدی تحت‌فشارهای شدید ناشی از افزایش هزینه‌های انرژی، مواد خام، نیروی انسانی، سرمایه و رقابت جهانی قرار دارد درحالی‌که این روندها برای درازمدت حفظ خواهد شد، مشکلات پیش روی تولید روزبه‌روز عمیق‌تر می‌شود. یکی از مسائل استراتژیک در صنعت تولید طراحی چیدمان است که کارآیی بلندمدت عملیات را تعیین می‌کند. طراحی چیدمان ماشین آلات به معنای چگونگی قرار گرفتن تسهیلات در یک محیط کاری برای تولید محصولات (یا ارائه خدمات) متشکل از انواع ماشین آلات و تجهیزات برای بهره وری و کارآمدی هر چه بیشتر سازمانها به‌طورجدی موردتوجه قرار دارد. در نظر گرفتن چیدمان چند سطری، پیکربندی انعطاف‌پذیر سلول‌ها، محاسبه هزینه جابجایی ماشین‌آلات و محاسبه هزینه جابجایی قطعات برحسب فاصله ماشین‌ها از یکدیگر ازجمله مواردی است که باعث تمایز این مدل نسبت به سایر مدل‌ها می‌شود. با توجه به این مسئله در این پژوهش یک مدل برنامه‌ریزی ریاضی چندهدفه برای مسئله چیدمان تسهیلات پویا و بهینهسازی سیستم تولید ارائه شدند که بر اساس روش حل دقیق ارزیابی شد و سپس با استفاده از الگوریتم حل دقیق، اعتبار سنجی شد.

کلیدواژه‌ها

بهینه سازی سیستم تولید

پیکربندی انعطاف پذیر سلول‌ها

طراحی چیدمان ماشین آلات

بهره وری

عنوان مقاله English

Optimization of Cellular Reconfigurable Manufacturing System under Constraints of Machinery Layout

نویسندگان English

Sepehr Mahjouri Namin ¹

Ahmad Hakimi ²

Fatemeh Rahbarnejad ³

¹ MSc., Industrial Engineering, Faculty of Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran

² Ph.D., Industrial Engineering, Faculty of Engineering, Kurdistan University, Sanandaj, Iran

³ BSc., Industrial Engineering, Faculty of Engineering, Islamic Azad University, Karaj Branch, Tehran, Iran

چکیده English

Today, manufacturing industries are under severe pressure due to the increase in the cost of energy, raw materials, manpower, capital and global competition, while these trends will be maintained for a long time, the problems facing production are getting deeper day by day.Become One of the strategic issues in the production industry is layout design, which determines the long-term efficiency of operations. Layout design means how to arrange facilities in a working environment for producing products (or providing services) consisting of various types of machines and equipment for the productivity and efficiency of more and more organizations. It is worth noting. Considering multi-line arrangement, flexible configuration of cells, calculating the cost of moving machines and calculating the cost of moving parts according to the distance of the machines from each other are among the things that differentiate this model from other models. It becomes According to this problem, in this research, a model of multi-objective mathematical planning for the problem of dynamic facility layout was presented, which was evaluated according to the considered objectives based on the exact solution method and then validated using the exact solution algorithm. According to the results obtained from solving the model, we can understand the importance of using the model so that the configuration of the cells and the allocation of parts to the cells and the arrangement of the machines in the cells with the aim of reducing the costs caused by The types of movement of parts, the costs of operating on machines and the costs of moving, buying and maintaining machines in the system, lead to an increase in the overall efficiency of the system and create a balance in the system. One of the advantages of this model is that by bringing the machines closer to each other, it tries to prevent extra movements inside the cells as much as possible, which increases cell productivity. Considering multi-line arrangement, flexible configuration of cells, calculating the cost of moving machines and calculating the cost of moving parts according to the distance of the machines from each other are among the things that differentiate this model from other models.

کلیدواژه‌ها English

Production system optimization

Flexible configuration of cells

Machine layout design

Productivity

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